trustgraph/trustgraph-cli/trustgraph/cli/save_doc_embeds.py

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Python
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"""
This utility connects to a running TrustGraph through the API and creates
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a document embeddings core from the data streaming through the processing
queues. For completeness of data, tg-save-doc-embeds should be initiated
before data loading takes place. The default output format, msgpack
should be used. JSON output format is also available - msgpack produces
a more compact representation, which is also more performant to load.
"""
import aiohttp
import asyncio
import msgpack
import json
import sys
import argparse
import os
import signal
class Running:
def __init__(self): self.running = True
def get(self): return self.running
def stop(self): self.running = False
feat: workspace-based multi-tenancy, replacing user as tenancy axis (#840) Introduces `workspace` as the isolation boundary for config, flows, library, and knowledge data. Removes `user` as a schema-level field throughout the code, API specs, and tests; workspace provides the same separation more cleanly at the trusted flow.workspace layer rather than through client-supplied message fields. Design ------ - IAM tech spec (docs/tech-specs/iam.md) documents current state, proposed auth/access model, and migration direction. - Data ownership model (docs/tech-specs/data-ownership-model.md) captures the workspace/collection/flow hierarchy. Schema + messaging ------------------ - Drop `user` field from AgentRequest/Step, GraphRagQuery, DocumentRagQuery, Triples/Graph/Document/Row EmbeddingsRequest, Sparql/Rows/Structured QueryRequest, ToolServiceRequest. - Keep collection/workspace routing via flow.workspace at the service layer. - Translators updated to not serialise/deserialise user. API specs --------- - OpenAPI schemas and path examples cleaned of user fields. - Websocket async-api messages updated. - Removed the unused parameters/User.yaml. Services + base --------------- - Librarian, collection manager, knowledge, config: all operations scoped by workspace. Config client API takes workspace as first positional arg. - `flow.workspace` set at flow start time by the infrastructure; no longer pass-through from clients. - Tool service drops user-personalisation passthrough. CLI + SDK --------- - tg-init-workspace and workspace-aware import/export. - All tg-* commands drop user args; accept --workspace. - Python API/SDK (flow, socket_client, async_*, explainability, library) drop user kwargs from every method signature. MCP server ---------- - All tool endpoints drop user parameters; socket_manager no longer keyed per user. Flow service ------------ - Closure-based topic cleanup on flow stop: only delete topics whose blueprint template was parameterised AND no remaining live flow (across all workspaces) still resolves to that topic. Three scopes fall out naturally from template analysis: * {id} -> per-flow, deleted on stop * {blueprint} -> per-blueprint, kept while any flow of the same blueprint exists * {workspace} -> per-workspace, kept while any flow in the workspace exists * literal -> global, never deleted (e.g. tg.request.librarian) Fixes a bug where stopping a flow silently destroyed the global librarian exchange, wedging all library operations until manual restart. RabbitMQ backend ---------------- - heartbeat=60, blocked_connection_timeout=300. Catches silently dead connections (broker restart, orphaned channels, network partitions) within ~2 heartbeat windows, so the consumer reconnects and re-binds its queue rather than sitting forever on a zombie connection. Tests ----- - Full test refresh: unit, integration, contract, provenance. - Dropped user-field assertions and constructor kwargs across ~100 test files. - Renamed user-collection isolation tests to workspace-collection.
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async def fetch_de(running, queue, collection, url):
async with aiohttp.ClientSession() as session:
async with session.ws_connect(url) as ws:
while running.get():
try:
msg = await asyncio.wait_for(ws.receive(), 1)
except:
continue
if msg.type == aiohttp.WSMsgType.TEXT:
data = msg.json()
if collection:
if data["metadata"]["collection"] != collection:
continue
await queue.put([
"de",
{
"m": {
"i": data["metadata"]["id"],
"m": data["metadata"]["metadata"],
"c": data["metadata"]["collection"],
},
"c": [
{
"c": chunk["chunk_id"],
"v": chunk["vectors"],
}
for chunk in data["chunks"]
]
}
])
if msg.type == aiohttp.WSMsgType.ERROR:
print("Error")
break
de_counts = 0
async def stats(running):
global t_counts
global de_counts
while running.get():
await asyncio.sleep(2)
print(
f"Document embeddings: {de_counts:10d}"
)
async def output(running, queue, path, format):
global t_counts
global de_counts
with open(path, "wb") as f:
while running.get():
try:
msg = await asyncio.wait_for(queue.get(), 0.5)
except:
# Hopefully it's TimeoutError. Annoying to match since
# it changed in 3.11.
continue
if format == "msgpack":
f.write(msgpack.packb(msg, use_bin_type=True))
else:
f.write(json.dumps(msg).encode("utf-8"))
if msg[0] == "de":
de_counts += 1
print("Output file closed")
async def run(running, **args):
q = asyncio.Queue()
url = args["url"]
flow_id = args["flow_id"]
de_task = asyncio.create_task(
fetch_de(
running=running,
feat: workspace-based multi-tenancy, replacing user as tenancy axis (#840) Introduces `workspace` as the isolation boundary for config, flows, library, and knowledge data. Removes `user` as a schema-level field throughout the code, API specs, and tests; workspace provides the same separation more cleanly at the trusted flow.workspace layer rather than through client-supplied message fields. Design ------ - IAM tech spec (docs/tech-specs/iam.md) documents current state, proposed auth/access model, and migration direction. - Data ownership model (docs/tech-specs/data-ownership-model.md) captures the workspace/collection/flow hierarchy. Schema + messaging ------------------ - Drop `user` field from AgentRequest/Step, GraphRagQuery, DocumentRagQuery, Triples/Graph/Document/Row EmbeddingsRequest, Sparql/Rows/Structured QueryRequest, ToolServiceRequest. - Keep collection/workspace routing via flow.workspace at the service layer. - Translators updated to not serialise/deserialise user. API specs --------- - OpenAPI schemas and path examples cleaned of user fields. - Websocket async-api messages updated. - Removed the unused parameters/User.yaml. Services + base --------------- - Librarian, collection manager, knowledge, config: all operations scoped by workspace. Config client API takes workspace as first positional arg. - `flow.workspace` set at flow start time by the infrastructure; no longer pass-through from clients. - Tool service drops user-personalisation passthrough. CLI + SDK --------- - tg-init-workspace and workspace-aware import/export. - All tg-* commands drop user args; accept --workspace. - Python API/SDK (flow, socket_client, async_*, explainability, library) drop user kwargs from every method signature. MCP server ---------- - All tool endpoints drop user parameters; socket_manager no longer keyed per user. Flow service ------------ - Closure-based topic cleanup on flow stop: only delete topics whose blueprint template was parameterised AND no remaining live flow (across all workspaces) still resolves to that topic. Three scopes fall out naturally from template analysis: * {id} -> per-flow, deleted on stop * {blueprint} -> per-blueprint, kept while any flow of the same blueprint exists * {workspace} -> per-workspace, kept while any flow in the workspace exists * literal -> global, never deleted (e.g. tg.request.librarian) Fixes a bug where stopping a flow silently destroyed the global librarian exchange, wedging all library operations until manual restart. RabbitMQ backend ---------------- - heartbeat=60, blocked_connection_timeout=300. Catches silently dead connections (broker restart, orphaned channels, network partitions) within ~2 heartbeat windows, so the consumer reconnects and re-binds its queue rather than sitting forever on a zombie connection. Tests ----- - Full test refresh: unit, integration, contract, provenance. - Dropped user-field assertions and constructor kwargs across ~100 test files. - Renamed user-collection isolation tests to workspace-collection.
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queue=q, collection=args["collection"],
url = f"{url}api/v1/flow/{flow_id}/export/document-embeddings"
)
)
output_task = asyncio.create_task(
output(
running=running, queue=q,
path=args["output_file"], format=args["format"],
)
)
stats_task = asyncio.create_task(stats(running))
await output_task
await de_task
await stats_task
print("Exiting")
async def main(running):
parser = argparse.ArgumentParser(
prog='tg-save-kg-core',
description=__doc__,
)
default_url = os.getenv("TRUSTGRAPH_API", "http://localhost:8088/")
collection = "default"
parser.add_argument(
'-u', '--url',
default=default_url,
help=f'TrustGraph API URL (default: {default_url})',
)
parser.add_argument(
'-f', '--flow-id',
default="default",
help=f'Flow ID (default: default)'
)
parser.add_argument(
'-o', '--output-file',
# Make it mandatory, difficult to over-write an existing file
required=True,
help=f'Output file'
)
parser.add_argument(
'--format',
default="msgpack",
choices=["msgpack", "json"],
help=f'Output format (default: msgpack)',
)
parser.add_argument(
'--collection',
help=f'Collection ID to filter on (default: no filter)'
)
args = parser.parse_args()
await run(running, **vars(args))
running = Running()
def interrupt(sig, frame):
running.stop()
print('Interrupt')
signal.signal(signal.SIGINT, interrupt)
asyncio.run(main(running))